<% for (const annotation of it) { %> <%~ include("annotation", annotation) %>
<% } %>
import React, { | |
useState, | |
useRef, | |
useEffect, | |
useCallback, | |
useMemo, | |
} from "react"; | |
import { | |
Search, | |
Save, |
#!/usr/bin/env python3 | |
# -*- coding: utf-8 -*- | |
# title: pdf_explain | |
# author: Hsieh-Ting Lin, the Lizard 🦎 | |
# description: This script splits a PDF file into individual pages and saves each page as a Markdown file with an auto-generated title and explanation in Traditional Chinese. It uses the OpenAI API to generate titles and explanations. | |
# date: "2024-07-13" | |
import os | |
import openai |
#!/usr/bin/env python3 | |
# -*- coding: utf-8 -*- | |
# title: main | |
# author: Hsieh-Ting Lin, the Lizard 🦎 | |
# description: This script is to extract the text from a PDF file and convert it to JSON format. Used for foundation_one NGS report, for biomarker_findings | |
# date: "2024-07-01" | |
# --END-- # | |
import json |
{ | |
"translatorID": "d90fd4af-9eeb-4232-9feb-8fd05bcf6f8b", | |
"translatorType": 2, | |
"label": "Markdown Item URI with Citekey", | |
"creator": "Silent", | |
"target": "markdown", | |
"minVersion": "2.0", | |
"maxVersion": "", | |
"priority": 200, | |
"inRepository": false, |
/* @theme my-theme */ | |
@charset "UTF-8"; | |
/*! | |
* | |
* @auto-scaling true | |
* @size 4:3 960px 720px | |
* @size 16:9 1280px 720px | |
*/ | |
@import url("https://unpkg.com/markdown-it-admon/styles/admonition.css"); |
<% for (const annotation of it) { %> <%~ include("annotation", annotation) %>
<% } %>
<%= it.map(lit => [[${lit.citekey}|(${lit.authors.first()}, ${lit.date})]]
).join("; ") %>
[!note] Page <%= it.pageLabel %>
<%= it.imgEmbed %><%= it.text %> <% if (it.comment) { %>
💬
<%= it.comment %> <% } %>